Using Stacked Denoising Autoencoder for the Student Dropout Prediction
碩士 === 國立臺北科技大學 === 資訊工程系研究所 === 105 === This paper used Stacked Denoising Autoencoder to build a deep neural network which initialized the weight of neural network through the encoder’s weight and used Dropout to reduce the error rate in fine-tuning stage. The neural network used the information of...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/3tpkzk |